Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
Run an object detection program for self-driving cars that identifies and locates objects in real-time.
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Free · no card · unsubscribe anytimeGaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
Gaussian_YOLOv3 has 671 stars on GitHub. It has been forked 174 times. Gaussian_YOLOv3 is written mainly in C. It has been in active development since 2019. Its main topics are computer-vision, deep-learning, dnn, gaussian-yolov3.
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
Gaussian_YOLOv3 is an open-source project.
Yes. Gaussian_YOLOv3 is free and open source — you can use, modify and self-host it.
Gaussian_YOLOv3 is written mainly in C.
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